中国激光, 2020, 47 (12): 1204005, 网络出版: 2020-11-18
基于深度学习的光场成像三维测量方法研究 下载: 1941次
Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning
测量 三维测量 光场成像 深度估计 深度学习 measurement three-dimensional measurement light field imaging depth estimation deep learning
摘要
为了解决光场相机应用于三维测量时,在弱纹理区域和精细结构区域难以获得准确视差估计结果问题,提出了基于深度学习技术对光场深度估计进行建模,并建立了光场视差与真实深度之间的转换关系。将所提方法应用于多种复杂场景中,实验结果均表明:该方法可以准确获取弱纹理区域和精细结构区域的视差信息,较好地复原场景的三维结构,视差估计处理时间压缩到1s量级,相比传统的基于代价优化的方法,降低了1~2个数量级。
Abstract
To estimate the accurate disparity in weak texture region and fine structure region when the light field camera is used for three-dimensional measurement, a model of the light field depth estimation based on deep learning technology is proposed. Moreover, the relationship between the disparity and corresponding depth is also established. The proposed method is applied to a variety of complex scenes, and the experimental results show that the proposed method can accurately estimate the disparity information in the weak texture region and fine structure region, and leading to a good reconstruction of three-dimensional structure. The processing time of the proposed method is compressed to the order of 1s, which is 1 to 2 orders of magnitude lower than the traditional methods based on cost optimization.
伍俊龙, 郭正华, 陈先锋, 马帅, 晏旭, 朱里程, 王帅, 杨平. 基于深度学习的光场成像三维测量方法研究[J]. 中国激光, 2020, 47(12): 1204005. Wu Junlong, Guo Zhenghua, Chen Xianfeng, Ma Shuai, Yan Xu, Zhu Licheng, Wang Shuai, Yang Ping. Three-Dimensional Measurement Method of Light Field Imaging Based on Deep Learning[J]. Chinese Journal of Lasers, 2020, 47(12): 1204005.